Machine learning helps find advantageous combination of salts and organic solvents for easier anti-icing operations

An Osaka Metropolitan University research team has found a deicing mixture with high effectiveness and low environmental impact after using machine learning to analyze ice melting mechanisms of aqueous solutions of 21 salts and 16 organic solvents. The research appears in Scientific Reports on June 7, 2024. An Osaka Metropolitan University research team has found a deicing mixture with high effectiveness and low environmental impact after using machine learning to analyze ice melting mechanisms of aqueous solutions of 21 salts and 16 organic solvents. The research appears in Scientific Reports on June 7, 2024. Analytical Chemistry Materials Science Phys.org – latest science and technology news stories